Wasteless

About Wasteless

Wasteless utilizes a Deep Machine Learning pricing engine to optimize markdown strategies and minimize food waste by dynamically adjusting prices based on real-time demand and customer behavior. This technology can reduce food waste by 50% and increase revenues by 20%, while ensuring products are sold before expiration.

```xml <problem> Supermarkets often rely on manual or outdated markdown strategies, leading to significant food waste and lost revenue on perishable items. Inefficient pricing fails to account for real-time demand, customer behavior, and product expiration dates, resulting in suboptimal sales and environmental impact. </problem> <solution> Wasteless offers an AI-powered pricing engine that dynamically adjusts prices for perishable goods to minimize waste and maximize profit margins. The system analyzes data points from the retailer's store and partner retailers to predict the optimal price at any given moment. By integrating with existing POS and electronic shelf label (ESL) systems, Wasteless automates the markdown process, ensuring products are sold at the ideal price before expiration. This approach enables retailers to reduce food waste, increase revenue, and improve overall freshness on shelves. </solution> <features> - AI-driven pricing engine that learns and adapts to customer buying habits - Integration with existing POS, ESL, digital scale, food delivery, and ERP systems - Real-time markdown adjustments based on demand, expiration dates, and other factors - Tools for rotation calendar management, date checks, grind logs, and waste tracking - Analytics platform providing insights into product performance and markdown effectiveness - Compatibility with electronic shelf labels for dynamic price display </features> <target_audience> The primary target audience includes supermarkets, grocery stores, and other retailers selling perishable goods who are looking to reduce food waste and increase profitability. </target_audience> <revenue_model> Wasteless generates revenue through software subscriptions and per-store licensing fees based on the number of SKUs and transaction volume. </revenue_model> ```

What does Wasteless do?

Wasteless utilizes a Deep Machine Learning pricing engine to optimize markdown strategies and minimize food waste by dynamically adjusting prices based on real-time demand and customer behavior. This technology can reduce food waste by 50% and increase revenues by 20%, while ensuring products are sold before expiration.

Where is Wasteless located?

Wasteless is based in Tel Aviv, Israel.

When was Wasteless founded?

Wasteless was founded in 2016.

Who founded Wasteless?

Wasteless was founded by Oded Omer.

  • Oded Omer - CEO
Location
Tel Aviv, Israel
Founded
2016
Employees
13 employees
Investors
It Farm

Wasteless

8
Relative Traction Score based on online presence metrics compared to companies in the same age group.

Executive Summary

Wasteless utilizes a Deep Machine Learning pricing engine to optimize markdown strategies and minimize food waste by dynamically adjusting prices based on real-time demand and customer behavior. This technology can reduce food waste by 50% and increase revenues by 20%, while ensuring products are sold before expiration.

wasteless.com5K+
Founded 2016Tel Aviv, Israel

Funding

Backed by

It Farm

Team (10+)

Oded Omer

CEO

Company Description

Problem

Supermarkets often rely on manual or outdated markdown strategies, leading to significant food waste and lost revenue on perishable items. Inefficient pricing fails to account for real-time demand, customer behavior, and product expiration dates, resulting in suboptimal sales and environmental impact.

Solution

Wasteless offers an AI-powered pricing engine that dynamically adjusts prices for perishable goods to minimize waste and maximize profit margins. The system analyzes data points from the retailer's store and partner retailers to predict the optimal price at any given moment. By integrating with existing POS and electronic shelf label (ESL) systems, Wasteless automates the markdown process, ensuring products are sold at the ideal price before expiration. This approach enables retailers to reduce food waste, increase revenue, and improve overall freshness on shelves.

Features

AI-driven pricing engine that learns and adapts to customer buying habits

Integration with existing POS, ESL, digital scale, food delivery, and ERP systems

Real-time markdown adjustments based on demand, expiration dates, and other factors

Tools for rotation calendar management, date checks, grind logs, and waste tracking

Analytics platform providing insights into product performance and markdown effectiveness

Compatibility with electronic shelf labels for dynamic price display

Target Audience

The primary target audience includes supermarkets, grocery stores, and other retailers selling perishable goods who are looking to reduce food waste and increase profitability.

Revenue Model

Wasteless generates revenue through software subscriptions and per-store licensing fees based on the number of SKUs and transaction volume.

Sources:

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